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Nuro

Software Engineer, Performance - New Grad

Mountain View, California (HQ)From $153kentryAdded today

About this role

Nuro is seeking a Software Engineer to join the Performance team and optimize autonomous vehicle software for low-latency, efficient execution. You'll design performance monitoring systems, develop core libraries, and collaborate across teams to ensure the autonomy stack meets real-world safety and efficiency requirements.

What you'll do

  • Profile, analyze, and optimize AV software performance across multiple compute architectures
  • Design systems for memory management, thread prioritization, and process lifetime management
  • Develop core libraries and APIs enabling autonomy engineers to write high-performance code
  • Collaborate with cross-functional teams on system-level architecture and design
  • Drive performance best practices and optimization standards across the organization
  • Monitor and reduce latency and resource consumption in production systems

What they're looking for

  • C++ and system fundamentals
  • Computer architecture and operating systems
  • Multi-threaded and concurrent programming
  • Performance profiling tools (perf, VTune, BPF, Nvidia Nsight Systems)
  • Software optimization across x86, ARM, GPUs, and SoCs
  • GPU programming (CUDA, OpenCL)
  • Low-level driver optimization
  • ROS or Nvidia DriveOS experience

Benefits

  • Competitive base salary and annual performance bonus
  • Equity compensation
  • Competitive benefits package
  • Work on cutting-edge autonomous vehicle technology
  • Collaborative environment with world-class investors backing the company
  • Located at Mountain View headquarters
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Nuro

Nuro builds autonomous vehicle platforms and fleet operations systems, with a focus on reliability, safety, and over-the-air update infrastructure. The company is hiring reliability engineers, software engineers, and operations specialists to improve vehicle hardware resilience, enhance system automation, and ensure fleet operational excellence.

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Likely interview questions

  • Walk us through your experience profiling and optimizing performance-critical code; what tools did you use and what results did you achieve?
  • Tell us about a time you optimized software across different hardware architectures (CPU, GPU, SoC)—what challenges did you face?
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